doi:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <doi:10.1080/01621459.2000.10474226>.">

simhelpers: Helper Functions for Simulation Studies (original) (raw)

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <doi:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <doi:10.1080/01621459.2000.10474226>.

Version: 0.3.1
Depends: R (≥ 2.10)
Imports: stats, furrr, tidyr, rstudioapi, Rdpack
Suggests: dplyr, tibble, purrr, future, knitr, rmarkdown, pkgdown, covr, testthat, kableExtra, ggplot2, broom, boot
Published: 2025-01-10
DOI: 10.32614/CRAN.package.simhelpers
Author: Megha Joshi ORCID iD [aut, cre], James Pustejovsky ORCID iD [aut]
Maintainer: Megha Joshi <megha.j456 at gmail.com>
BugReports: https://github.com/meghapsimatrix/simhelpers/issues
License: GPL-3
URL: https://meghapsimatrix.github.io/simhelpers/
NeedsCompilation: no
SystemRequirements: RStudio
Materials: NEWS
CRAN checks: simhelpers results

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